Overview

Dataset statistics

Number of variables34
Number of observations201
Missing cells270
Missing cells (%)4.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory53.5 KiB
Average record size in memory272.6 B

Variable types

Categorical3
Numeric2
TimeSeries29

Alerts

Avg_VW1_Z03D6945Ps_psi has constant value "0.0"Constant
Avg_VW1_Z03D6945Tp_F has constant value "0.0"Constant
SampleTimeUTC has a high cardinality: 201 distinct valuesHigh cardinality
Avg_PLT_CO2VentRate_TPH is highly overall correlated with Avg_CCS1_WHCO2InjPs_psi and 4 other fieldsHigh correlation
Avg_CCS1_WHCO2InjPs_psi is highly overall correlated with Avg_PLT_CO2VentRate_TPH and 6 other fieldsHigh correlation
Avg_CCS1_DH6325Ps_psi is highly overall correlated with Avg_PLT_CO2VentRate_TPH and 8 other fieldsHigh correlation
Avg_VW1_WBTbgPs_psi is highly overall correlated with Avg_CCS1_DH6325Ps_psi and 11 other fieldsHigh correlation
Avg_VW1_WBTbgTp_F is highly overall correlated with Avg_VW1_WBTbgPs_psi and 4 other fieldsHigh correlation
Avg_VW1_ANPs_psi is highly overall correlated with Avg_VW1_Z05D6720Ps_psi and 5 other fieldsHigh correlation
Avg_VW1_Z11D4917Ps_psi is highly overall correlated with Avg_CCS1_WHCO2InjPs_psi and 20 other fieldsHigh correlation
Avg_VW1_Z11D4917Tp_F is highly overall correlated with Avg_VW1_WBTbgPs_psi and 9 other fieldsHigh correlation
Avg_VW1_Z10D5001Ps_psi is highly overall correlated with Avg_VW1_Z11D4917Ps_psi and 2 other fieldsHigh correlation
Avg_VW1_Z10D5001Tp_F is highly overall correlated with Avg_CCS1_WHCO2InjPs_psi and 14 other fieldsHigh correlation
Avg_VW1_Z09D5653Ps_psi is highly overall correlated with Avg_VW1_Z11D4917Ps_psi and 11 other fieldsHigh correlation
Avg_VW1_Z09D5653Tp_F is highly overall correlated with Avg_CCS1_WHCO2InjPs_psi and 18 other fieldsHigh correlation
Avg_VW1_Z08D5840Ps_psi is highly overall correlated with Avg_VW1_Z04D6837Ps_psi and 2 other fieldsHigh correlation
Avg_VW1_Z07D6416Ps_psi is highly overall correlated with Avg_VW1_WBTbgPs_psi and 6 other fieldsHigh correlation
Avg_VW1_Z07D6416Tp_F is highly overall correlated with Avg_CCS1_WHCO2InjPs_psi and 12 other fieldsHigh correlation
Avg_VW1_Z06D6632Ps_psi is highly overall correlated with Avg_CCS1_DH6325Ps_psi and 11 other fieldsHigh correlation
Avg_VW1_Z06D6632Tp_F is highly overall correlated with Avg_VW1_Z11D4917Ps_psi and 11 other fieldsHigh correlation
Avg_VW1_Z05D6720Ps_psi is highly overall correlated with Avg_VW1_ANPs_psi and 12 other fieldsHigh correlation
Avg_VW1_Z05D6720Tp_F is highly overall correlated with Avg_PLT_CO2VentRate_TPH and 12 other fieldsHigh correlation
Avg_VW1_Z04D6837Ps_psi is highly overall correlated with Avg_PLT_CO2VentRate_TPH and 13 other fieldsHigh correlation
Avg_VW1_Z04D6837Tp_F is highly overall correlated with Avg_VW1_ANPs_psi and 12 other fieldsHigh correlation
Avg_VW1_Z02D6982Ps_psi is highly overall correlated with Avg_VW1_ANPs_psi and 12 other fieldsHigh correlation
Avg_VW1_Z02D6982Tp_F is highly overall correlated with Avg_VW1_WBTbgPs_psi and 7 other fieldsHigh correlation
Avg_VW1_Z01D7061Ps_psi is highly overall correlated with Avg_CCS1_WHCO2InjPs_psi and 18 other fieldsHigh correlation
Avg_VW1_Z01D7061Tp_F is highly overall correlated with Avg_PLT_CO2VentRate_TPH and 13 other fieldsHigh correlation
Avg_VW1_Z0910D5482Ps_psi is highly overall correlated with Avg_CCS1_DH6325Ps_psi and 11 other fieldsHigh correlation
Avg_VW1_Z0910D5482Tp_F is highly overall correlated with Avg_VW1_WBTbgPs_psi and 9 other fieldsHigh correlation
Avg_VW1_ANPs_psi has 4 (2.0%) missing valuesMissing
Avg_VW1_Z03D6945Ps_psi has 133 (66.2%) missing valuesMissing
Avg_VW1_Z03D6945Tp_F has 133 (66.2%) missing valuesMissing
Avg_CCS1_WHCO2InjTp_F is non stationaryNon stationary
Avg_CCS1_DH6325Ps_psi is non stationaryNon stationary
Avg_VW1_WBTbgPs_psi is non stationaryNon stationary
Avg_VW1_WBTbgTp_F is non stationaryNon stationary
Avg_VW1_ANPs_psi is non stationaryNon stationary
Avg_VW1_Z11D4917Ps_psi is non stationaryNon stationary
Avg_VW1_Z10D5001Tp_F is non stationaryNon stationary
Avg_VW1_Z09D5653Ps_psi is non stationaryNon stationary
Avg_VW1_Z09D5653Tp_F is non stationaryNon stationary
Avg_VW1_Z07D6416Tp_F is non stationaryNon stationary
Avg_VW1_Z06D6632Ps_psi is non stationaryNon stationary
Avg_VW1_Z06D6632Tp_F is non stationaryNon stationary
Avg_VW1_Z05D6720Ps_psi is non stationaryNon stationary
Avg_VW1_Z05D6720Tp_F is non stationaryNon stationary
Avg_VW1_Z04D6837Ps_psi is non stationaryNon stationary
Avg_VW1_Z04D6837Tp_F is non stationaryNon stationary
Avg_VW1_Z02D6982Ps_psi is non stationaryNon stationary
Avg_VW1_Z01D7061Ps_psi is non stationaryNon stationary
Avg_VW1_Z01D7061Tp_F is non stationaryNon stationary
Avg_VW1_Z0910D5482Ps_psi is non stationaryNon stationary
SampleTimeUTC is uniformly distributedUniform
SampleTimeUTC has unique valuesUnique
Avg_CCS1_WHCO2InjPs_psi has unique valuesUnique
Avg_CCS1_WHCO2InjTp_F has unique valuesUnique
Avg_CCS1_ANPs_psi has unique valuesUnique
Avg_CCS1_DH6325Ps_psi has unique valuesUnique
Avg_CCS1_DH6325Tp_F has unique valuesUnique
Avg_PLT_CO2VentRate_TPH has 11 (5.5%) zerosZeros

Reproduction

Analysis started2023-04-17 03:53:26.763707
Analysis finished2023-04-17 03:55:43.204587
Duration2 minutes and 16.44 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

SampleTimeUTC
Categorical

HIGH CARDINALITY  UNIFORM  UNIQUE 

Distinct201
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
11/18/2012 10:00
 
1
11/24/2012 11:00
 
1
11/23/2012 2:00
 
1
11/23/2012 3:00
 
1
11/23/2012 4:00
 
1
Other values (196)
196 

Length

Max length16
Median length16
Mean length15.59204
Min length15

Characters and Unicode

Total characters3134
Distinct characters13
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique201 ?
Unique (%)100.0%

Sample

1st row11/18/2012 10:00
2nd row11/18/2012 11:00
3rd row11/18/2012 12:00
4th row11/18/2012 13:00
5th row11/18/2012 14:00

Common Values

ValueCountFrequency (%)
11/18/2012 10:00 1
 
0.5%
11/24/2012 11:00 1
 
0.5%
11/23/2012 2:00 1
 
0.5%
11/23/2012 3:00 1
 
0.5%
11/23/2012 4:00 1
 
0.5%
11/23/2012 5:00 1
 
0.5%
11/23/2012 6:00 1
 
0.5%
11/23/2012 7:00 1
 
0.5%
11/23/2012 8:00 1
 
0.5%
11/23/2012 9:00 1
 
0.5%
Other values (191) 191
95.0%

Length

2023-04-16T22:55:43.304674image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
11/21/2012 24
 
6.0%
11/22/2012 24
 
6.0%
11/24/2012 24
 
6.0%
11/20/2012 24
 
6.0%
11/23/2012 24
 
6.0%
11/19/2012 24
 
6.0%
11/25/2012 24
 
6.0%
11/26/2012 17
 
4.2%
11/18/2012 16
 
4.0%
8:00 9
 
2.2%
Other values (23) 192
47.8%

Most occurring characters

ValueCountFrequency (%)
1 779
24.9%
0 652
20.8%
2 644
20.5%
/ 402
12.8%
201
 
6.4%
: 201
 
6.4%
3 49
 
1.6%
4 41
 
1.3%
5 41
 
1.3%
9 41
 
1.3%
Other values (3) 83
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2330
74.3%
Other Punctuation 603
 
19.2%
Space Separator 201
 
6.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 779
33.4%
0 652
28.0%
2 644
27.6%
3 49
 
2.1%
4 41
 
1.8%
5 41
 
1.8%
9 41
 
1.8%
6 34
 
1.5%
8 33
 
1.4%
7 16
 
0.7%
Other Punctuation
ValueCountFrequency (%)
/ 402
66.7%
: 201
33.3%
Space Separator
ValueCountFrequency (%)
201
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3134
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 779
24.9%
0 652
20.8%
2 644
20.5%
/ 402
12.8%
201
 
6.4%
: 201
 
6.4%
3 49
 
1.6%
4 41
 
1.3%
5 41
 
1.3%
9 41
 
1.3%
Other values (3) 83
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3134
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 779
24.9%
0 652
20.8%
2 644
20.5%
/ 402
12.8%
201
 
6.4%
: 201
 
6.4%
3 49
 
1.6%
4 41
 
1.3%
5 41
 
1.3%
9 41
 
1.3%
Other values (3) 83
 
2.6%

Avg_PLT_CO2VentRate_TPH
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct106
Distinct (%)52.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.92187206
Minimum0
Maximum16.6
Zeros11
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-04-16T22:55:43.452282image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.275
median0.40833333
Q31.6333333
95-th percentile2.0666667
Maximum16.6
Range16.6
Interquartile range (IQR)1.3583333

Descriptive statistics

Standard deviation1.7641049
Coefficient of variation (CV)1.9136114
Kurtosis58.14643
Mean0.92187206
Median Absolute Deviation (MAD)0.21666667
Skewness6.9629038
Sum185.29628
Variance3.112066
MonotonicityNot monotonic
2023-04-16T22:55:43.596558image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11
 
5.5%
0.325 7
 
3.5%
0.383333333 5
 
2.5%
0.433333333 5
 
2.5%
1.85 5
 
2.5%
0.275 4
 
2.0%
0.358333333 4
 
2.0%
0.408333333 4
 
2.0%
0.333333333 4
 
2.0%
0.341666667 4
 
2.0%
Other values (96) 148
73.6%
ValueCountFrequency (%)
0 11
5.5%
0.008333333 1
 
0.5%
0.016666667 1
 
0.5%
0.025 1
 
0.5%
0.05 2
 
1.0%
0.058333333 1
 
0.5%
0.066666667 2
 
1.0%
0.067226891 1
 
0.5%
0.074380165 1
 
0.5%
0.075 1
 
0.5%
ValueCountFrequency (%)
16.6 1
0.5%
16.14166667 1
0.5%
6.191666667 1
0.5%
3.766666667 1
0.5%
3.208333333 1
0.5%
2.483333333 1
0.5%
2.358333333 1
0.5%
2.308333333 1
0.5%
2.291666667 1
0.5%
2.241666667 1
0.5%

Avg_CCS1_WHCO2InjPs_psi
Numeric time series

HIGH CORRELATION  UNIQUE 

Distinct201
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1345.1536
Minimum2.2532553
Maximum1420.543
Zeros0
Zeros (%)0.0%
Memory size1.7 KiB
2023-04-16T22:55:43.739182image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2.2532553
5-th percentile1082.3276
Q11399.2764
median1403.8832
Q31411.6124
95-th percentile1419.7289
Maximum1420.543
Range1418.2897
Interquartile range (IQR)12.335991

Descriptive statistics

Standard deviation213.70234
Coefficient of variation (CV)0.15886836
Kurtosis26.449897
Mean1345.1536
Median Absolute Deviation (MAD)6.130708
Skewness-4.9091231
Sum270375.87
Variance45668.692
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.0002796445367
2023-04-16T22:55:43.888752image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1406.58871 1
 
0.5%
1403.883153 1
 
0.5%
1403.843357 1
 
0.5%
1403.937737 1
 
0.5%
1403.783838 1
 
0.5%
1401.291746 1
 
0.5%
1399.946565 1
 
0.5%
1402.811101 1
 
0.5%
1405.600767 1
 
0.5%
1406.588756 1
 
0.5%
Other values (191) 191
95.0%
ValueCountFrequency (%)
2.253255264 1
0.5%
2.288004606 1
0.5%
2.461751316 1
0.5%
194.6405599 1
0.5%
569.8988017 1
0.5%
1059.814945 1
0.5%
1066.715188 1
0.5%
1067.157036 1
0.5%
1074.126692 1
0.5%
1075.645761 1
0.5%
ValueCountFrequency (%)
1420.542983 1
0.5%
1420.408923 1
0.5%
1420.071379 1
0.5%
1420.021752 1
0.5%
1420.00684 1
0.5%
1419.952198 1
0.5%
1419.847972 1
0.5%
1419.788398 1
0.5%
1419.763634 1
0.5%
1419.753728 1
0.5%
2023-04-16T22:55:44.063268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ACF and PACF

Avg_CCS1_WHCO2InjTp_F
Numeric time series

NON STATIONARY  UNIQUE 

Distinct201
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.490199
Minimum47.104775
Maximum102.44987
Zeros0
Zeros (%)0.0%
Memory size1.7 KiB
2023-04-16T22:55:44.321576image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum47.104775
5-th percentile66.22245
Q195.707924
median96.275185
Q396.561928
95-th percentile97.176429
Maximum102.44987
Range55.345092
Interquartile range (IQR)0.85400391

Descriptive statistics

Standard deviation9.5429115
Coefficient of variation (CV)0.10207392
Kurtosis10.915089
Mean93.490199
Median Absolute Deviation (MAD)0.41015702
Skewness-3.4398981
Sum18791.53
Variance91.06716
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.1342205327
2023-04-16T22:55:44.503085image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.54605948 1
 
0.5%
95.34134674 1
 
0.5%
96.35392036 1
 
0.5%
96.4348533 1
 
0.5%
96.54435069 1
 
0.5%
96.42679596 1
 
0.5%
96.59598529 1
 
0.5%
96.79190655 1
 
0.5%
96.77542985 1
 
0.5%
96.67362328 1
 
0.5%
Other values (191) 191
95.0%
ValueCountFrequency (%)
47.1047747 1
0.5%
50.39444764 1
0.5%
51.78824682 1
0.5%
54.95304159 1
0.5%
55.38260679 1
0.5%
58.17130308 1
0.5%
59.29447241 1
0.5%
60.28360771 1
0.5%
63.32389142 1
0.5%
65.56546822 1
0.5%
ValueCountFrequency (%)
102.4498667 1
0.5%
97.90262648 1
0.5%
97.54410591 1
0.5%
97.44449685 1
0.5%
97.40641212 1
0.5%
97.34378859 1
0.5%
97.31009687 1
0.5%
97.30277392 1
0.5%
97.25186895 1
0.5%
97.20279554 1
0.5%
2023-04-16T22:55:44.664251image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ACF and PACF

Avg_CCS1_ANPs_psi
Real number (ℝ)

Distinct201
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean503.07162
Minimum432.05223
Maximum658.33575
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-04-16T22:55:44.908598image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum432.05223
5-th percentile444.24298
Q1483.59451
median505.89614
Q3522.01345
95-th percentile547.00542
Maximum658.33575
Range226.28352
Interquartile range (IQR)38.418939

Descriptive statistics

Standard deviation34.185322
Coefficient of variation (CV)0.067953191
Kurtosis2.3183181
Mean503.07162
Median Absolute Deviation (MAD)19.73098
Skewness0.61044991
Sum101117.4
Variance1168.6362
MonotonicityNot monotonic
2023-04-16T22:55:45.055875image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
510.8994321 1
 
0.5%
449.9334246 1
 
0.5%
485.9596375 1
 
0.5%
471.6951856 1
 
0.5%
456.2895391 1
 
0.5%
518.249486 1
 
0.5%
522.5840408 1
 
0.5%
539.7842237 1
 
0.5%
538.7627055 1
 
0.5%
520.9612625 1
 
0.5%
Other values (191) 191
95.0%
ValueCountFrequency (%)
432.0522252 1
0.5%
433.3989291 1
0.5%
433.47254 1
0.5%
440.1016795 1
0.5%
440.463678 1
0.5%
440.52195 1
0.5%
441.1140038 1
0.5%
442.0373594 1
0.5%
442.4484184 1
0.5%
443.3748423 1
0.5%
ValueCountFrequency (%)
658.3357483 1
0.5%
621.174498 1
0.5%
607.5695925 1
0.5%
598.6059748 1
0.5%
574.9913808 1
0.5%
572.6170387 1
0.5%
565.0706813 1
0.5%
561.4355326 1
0.5%
560.6440948 1
0.5%
553.7726039 1
0.5%

Avg_CCS1_DH6325Ps_psi
Numeric time series

HIGH CORRELATION  NON STATIONARY  UNIQUE 

Distinct201
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3349.5691
Minimum3080.4997
Maximum3403.9021
Zeros0
Zeros (%)0.0%
Memory size1.7 KiB
2023-04-16T22:55:45.188520image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3080.4997
5-th percentile3090.6522
Q13364.3817
median3370.059
Q33383.6518
95-th percentile3401.6428
Maximum3403.9021
Range323.40246
Interquartile range (IQR)19.270101

Descriptive statistics

Standard deviation83.034673
Coefficient of variation (CV)0.024789658
Kurtosis5.3169294
Mean3349.5691
Median Absolute Deviation (MAD)10.344942
Skewness-2.597495
Sum673263.4
Variance6894.7569
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.3427718425
2023-04-16T22:55:45.323043image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3383.531185 1
 
0.5%
3360.480227 1
 
0.5%
3369.795758 1
 
0.5%
3368.544993 1
 
0.5%
3369.383681 1
 
0.5%
3367.388839 1
 
0.5%
3366.263395 1
 
0.5%
3368.294391 1
 
0.5%
3369.937008 1
 
0.5%
3371.485358 1
 
0.5%
Other values (191) 191
95.0%
ValueCountFrequency (%)
3080.499689 1
0.5%
3081.453225 1
0.5%
3082.488245 1
0.5%
3083.705001 1
0.5%
3085.156864 1
0.5%
3086.506409 1
0.5%
3087.02326 1
0.5%
3087.725191 1
0.5%
3089.275555 1
0.5%
3089.757174 1
0.5%
ValueCountFrequency (%)
3403.902148 1
0.5%
3403.192896 1
0.5%
3403.130627 1
0.5%
3402.606547 1
0.5%
3402.492588 1
0.5%
3402.472994 1
0.5%
3401.955001 1
0.5%
3401.931537 1
0.5%
3401.88513 1
0.5%
3401.743427 1
0.5%
2023-04-16T22:55:45.475635image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ACF and PACF

Avg_CCS1_DH6325Tp_F
Numeric time series

Distinct201
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.97128
Minimum124.36938
Maximum129.90064
Zeros0
Zeros (%)0.0%
Memory size1.7 KiB
2023-04-16T22:55:45.700633image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum124.36938
5-th percentile125.53427
Q1129.10155
median129.37867
Q3129.56797
95-th percentile129.76392
Maximum129.90064
Range5.5312667
Interquartile range (IQR)0.4664246

Descriptive statistics

Standard deviation1.1849468
Coefficient of variation (CV)0.0091876791
Kurtosis4.8395191
Mean128.97128
Median Absolute Deviation (MAD)0.2147537
Skewness-2.414904
Sum25923.228
Variance1.4040988
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.0009985426803
2023-04-16T22:55:45.844245image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.4665546 1
 
0.5%
129.4615503 1
 
0.5%
129.5606265 1
 
0.5%
129.462236 1
 
0.5%
129.4318197 1
 
0.5%
129.43947 1
 
0.5%
129.4367771 1
 
0.5%
129.4154956 1
 
0.5%
129.4363499 1
 
0.5%
129.4677625 1
 
0.5%
Other values (191) 191
95.0%
ValueCountFrequency (%)
124.3693779 1
0.5%
124.8047585 1
0.5%
124.888218 1
0.5%
125.0104465 1
0.5%
125.1387435 1
0.5%
125.241176 1
0.5%
125.3458122 1
0.5%
125.3505301 1
0.5%
125.4239983 1
0.5%
125.5324393 1
0.5%
ValueCountFrequency (%)
129.9006446 1
0.5%
129.884524 1
0.5%
129.8601885 1
0.5%
129.8561537 1
0.5%
129.845698 1
0.5%
129.8081669 1
0.5%
129.802316 1
0.5%
129.8013813 1
0.5%
129.7878663 1
0.5%
129.7671124 1
0.5%
2023-04-16T22:55:46.058279image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ACF and PACF

Avg_VW1_WBTbgPs_psi
Numeric time series

HIGH CORRELATION  NON STATIONARY 

Distinct103
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2323.8465
Minimum2322.3999
Maximum2329.1479
Zeros0
Zeros (%)0.0%
Memory size1.7 KiB
2023-04-16T22:55:46.359841image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2322.3999
5-th percentile2322.3999
Q12322.3999
median2322.4859
Q32323.1783
95-th percentile2329.0257
Maximum2329.1479
Range6.748007
Interquartile range (IQR)0.778372

Descriptive statistics

Standard deviation2.4225929
Coefficient of variation (CV)0.0010424927
Kurtosis0.20582125
Mean2323.8465
Median Absolute Deviation (MAD)0.085954
Skewness1.4222624
Sum467093.15
Variance5.8689565
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.0754741856
2023-04-16T22:55:46.498469image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2322.399902 99
49.3%
2322.72616 1
 
0.5%
2323.146877 1
 
0.5%
2323.123499 1
 
0.5%
2323.164427 1
 
0.5%
2322.735091 1
 
0.5%
2323.178274 1
 
0.5%
2323.133781 1
 
0.5%
2323.084686 1
 
0.5%
2323.008226 1
 
0.5%
Other values (93) 93
46.3%
ValueCountFrequency (%)
2322.399902 99
49.3%
2322.400187 1
 
0.5%
2322.485856 1
 
0.5%
2322.636587 1
 
0.5%
2322.640149 1
 
0.5%
2322.648142 1
 
0.5%
2322.648405 1
 
0.5%
2322.658657 1
 
0.5%
2322.660057 1
 
0.5%
2322.660594 1
 
0.5%
ValueCountFrequency (%)
2329.147909 1
0.5%
2329.133805 1
0.5%
2329.133431 1
0.5%
2329.128796 1
0.5%
2329.112113 1
0.5%
2329.106055 1
0.5%
2329.072949 1
0.5%
2329.055794 1
0.5%
2329.048739 1
0.5%
2329.030835 1
0.5%
2023-04-16T22:55:46.693603image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ACF and PACF

Avg_VW1_WBTbgTp_F
Numeric time series

HIGH CORRELATION  NON STATIONARY 

Distinct90
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.9334
Minimum104.8906
Maximum104.95279
Zeros0
Zeros (%)0.0%
Memory size1.7 KiB
2023-04-16T22:55:46.969135image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum104.8906
5-th percentile104.90548
Q1104.92849
median104.9407
Q3104.9407
95-th percentile104.94349
Maximum104.95279
Range0.0621849
Interquartile range (IQR)0.0122033

Descriptive statistics

Standard deviation0.012985917
Coefficient of variation (CV)0.00012375389
Kurtosis1.0921148
Mean104.9334
Median Absolute Deviation (MAD)0.0001263
Skewness-1.4841148
Sum21091.614
Variance0.00016863404
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.2243197585
2023-04-16T22:55:47.128678image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104.9406967 99
49.3%
104.9425569 3
 
1.5%
104.9054825 3
 
1.5%
104.9397669 2
 
1.0%
104.9444168 2
 
1.0%
104.8989723 2
 
1.0%
104.942557 2
 
1.0%
104.9110626 2
 
1.0%
104.9388371 2
 
1.0%
104.9416269 2
 
1.0%
Other values (80) 82
40.8%
ValueCountFrequency (%)
104.8906021 1
 
0.5%
104.8943222 1
 
0.5%
104.8961823 1
 
0.5%
104.8989723 2
1.0%
104.9008324 2
1.0%
104.9017624 1
 
0.5%
104.9035629 1
 
0.5%
104.9041779 1
 
0.5%
104.9054824 1
 
0.5%
104.9054825 3
1.5%
ValueCountFrequency (%)
104.952787 1
0.5%
104.9472071 1
0.5%
104.947192 1
0.5%
104.947177 1
0.5%
104.9462769 1
0.5%
104.9453469 1
0.5%
104.9445428 1
0.5%
104.944417 1
0.5%
104.9444168 2
1.0%
104.9434871 1
0.5%
2023-04-16T22:55:47.300428image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ACF and PACF

Avg_VW1_ANPs_psi
Numeric time series

HIGH CORRELATION  MISSING  NON STATIONARY 

Distinct161
Distinct (%)81.7%
Missing4
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean2.1437193
Minimum0.100585
Maximum3.9375613
Zeros0
Zeros (%)0.0%
Memory size1.7 KiB
2023-04-16T22:55:47.561717image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.100585
5-th percentile0.47448661
Q11.2028811
median2.2905278
Q32.8096314
95-th percentile3.7460326
Maximum3.9375613
Range3.8369763
Interquartile range (IQR)1.6067503

Descriptive statistics

Standard deviation1.0471408
Coefficient of variation (CV)0.48846918
Kurtosis-1.1025859
Mean2.1437193
Median Absolute Deviation (MAD)0.98144574
Skewness-0.065072473
Sum422.3127
Variance1.0965038
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.3527772804
2023-04-16T22:55:47.730048image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.396483898 10
 
5.0%
1.199218988 5
 
2.5%
3.72607398 5
 
2.5%
0.100584999 4
 
2.0%
1.089354992 4
 
2.0%
3.835937977 3
 
1.5%
1.418944955 3
 
1.5%
3.395568375 2
 
1.0%
3.394652851 2
 
1.0%
2.786743295 2
 
1.0%
Other values (151) 157
78.1%
(Missing) 4
 
2.0%
ValueCountFrequency (%)
0.100584999 4
2.0%
0.134459731 1
 
0.5%
0.211364512 1
 
0.5%
0.303832544 1
 
0.5%
0.351439847 1
 
0.5%
0.429259481 1
 
0.5%
0.432006065 1
 
0.5%
0.485106751 1
 
0.5%
0.51623474 1
 
0.5%
0.572997543 1
 
0.5%
ValueCountFrequency (%)
3.937561291 1
 
0.5%
3.92016631 1
 
0.5%
3.900940277 1
 
0.5%
3.846924281 1
 
0.5%
3.835937977 3
1.5%
3.832275844 1
 
0.5%
3.803894256 1
 
0.5%
3.792907912 1
 
0.5%
3.73431378 1
 
0.5%
3.72607398 5
2.5%
2023-04-16T22:55:47.884629image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ACF and PACF

Avg_VW1_Z11D4917Ps_psi
Numeric time series

HIGH CORRELATION  NON STATIONARY 

Distinct103
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2069.9134
Minimum2069.6921
Maximum2070.011
Zeros0
Zeros (%)0.0%
Memory size1.7 KiB
2023-04-16T22:55:48.115528image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2069.6921
5-th percentile2069.7439
Q12069.8108
median2069.9811
Q32070.011
95-th percentile2070.011
Maximum2070.011
Range0.318853
Interquartile range (IQR)0.200221

Descriptive statistics

Standard deviation0.10582695
Coefficient of variation (CV)5.112627 × 10-5
Kurtosis-1.4950294
Mean2069.9134
Median Absolute Deviation (MAD)0.029876
Skewness-0.3869561
Sum416052.59
Variance0.011199343
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.8831087527
2023-04-16T22:55:48.255154image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2070.010986 99
49.3%
2069.860655 1
 
0.5%
2069.849959 1
 
0.5%
2069.825979 1
 
0.5%
2069.7776 1
 
0.5%
2069.782556 1
 
0.5%
2069.812382 1
 
0.5%
2069.810756 1
 
0.5%
2069.853935 1
 
0.5%
2069.831962 1
 
0.5%
Other values (93) 93
46.3%
ValueCountFrequency (%)
2069.692133 1
0.5%
2069.699314 1
0.5%
2069.710551 1
0.5%
2069.720015 1
0.5%
2069.72078 1
0.5%
2069.725203 1
0.5%
2069.733187 1
0.5%
2069.734662 1
0.5%
2069.735527 1
0.5%
2069.743797 1
0.5%
ValueCountFrequency (%)
2070.010986 99
49.3%
2070.005986 1
 
0.5%
2069.98111 1
 
0.5%
2069.942957 1
 
0.5%
2069.938165 1
 
0.5%
2069.932163 1
 
0.5%
2069.930933 1
 
0.5%
2069.926522 1
 
0.5%
2069.925755 1
 
0.5%
2069.918758 1
 
0.5%
2023-04-16T22:55:48.419220image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ACF and PACF

Avg_VW1_Z11D4917Tp_F
Numeric time series

Distinct29
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.57466
Minimum103.5691
Maximum103.59467
Zeros0
Zeros (%)0.0%
Memory size1.7 KiB
2023-04-16T22:55:48.641416image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum103.5691
5-th percentile103.5691
Q1103.5691
median103.56992
Q3103.57982
95-th percentile103.58642
Maximum103.59467
Range0.0255748
Interquartile range (IQR)0.0107249

Descriptive statistics

Standard deviation0.006645941
Coefficient of variation (CV)6.4165706 × 10-5
Kurtosis-0.40957563
Mean103.57466
Median Absolute Deviation (MAD)0.000825
Skewness0.85151875
Sum20818.506
Variance4.4168532 × 10-5
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.0329824069
2023-04-16T22:55:48.764087image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
103.5690994 100
49.8%
103.5748744 9
 
4.5%
103.5839493 9
 
4.5%
103.5765244 9
 
4.5%
103.5822993 9
 
4.5%
103.5798243 7
 
3.5%
103.5789993 7
 
3.5%
103.5806493 6
 
3.0%
103.5773493 4
 
2.0%
103.5847743 4
 
2.0%
Other values (19) 37
 
18.4%
ValueCountFrequency (%)
103.5690994 100
49.8%
103.5699244 1
 
0.5%
103.5707494 2
 
1.0%
103.5715744 1
 
0.5%
103.5723994 2
 
1.0%
103.5732244 3
 
1.5%
103.5740494 2
 
1.0%
103.5748744 9
 
4.5%
103.5756994 4
 
2.0%
103.5765244 9
 
4.5%
ValueCountFrequency (%)
103.5946742 1
 
0.5%
103.5930242 1
 
0.5%
103.5913742 1
 
0.5%
103.5905492 2
1.0%
103.5888992 2
1.0%
103.5880742 1
 
0.5%
103.5872492 2
1.0%
103.5864243 3
1.5%
103.5855993 2
1.0%
103.5847743 4
2.0%
2023-04-16T22:55:48.913687image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ACF and PACF

Avg_VW1_Z10D5001Ps_psi
Numeric time series

Distinct103
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2111.6318
Minimum2111.4599
Maximum2111.7252
Zeros0
Zeros (%)0.0%
Memory size1.7 KiB
2023-04-16T22:55:49.928323image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2111.4599
5-th percentile2111.5294
Q12111.6232
median2111.6479
Q32111.6479
95-th percentile2111.6863
Maximum2111.7252
Range0.265363
Interquartile range (IQR)0.02476

Descriptive statistics

Standard deviation0.041551619
Coefficient of variation (CV)1.9677493 × 10-5
Kurtosis3.2328769
Mean2111.6318
Median Absolute Deviation (MAD)0.000344
Skewness-1.5757213
Sum424437.99
Variance0.0017265371
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.0003085991978
2023-04-16T22:55:50.072076image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2111.647949 99
49.3%
2111.62298 1
 
0.5%
2111.614653 1
 
0.5%
2111.623189 1
 
0.5%
2111.584609 1
 
0.5%
2111.615261 1
 
0.5%
2111.586389 1
 
0.5%
2111.588424 1
 
0.5%
2111.625639 1
 
0.5%
2111.638401 1
 
0.5%
Other values (93) 93
46.3%
ValueCountFrequency (%)
2111.459853 1
0.5%
2111.477832 1
0.5%
2111.495024 1
0.5%
2111.518547 1
0.5%
2111.518654 1
0.5%
2111.520245 1
0.5%
2111.521295 1
0.5%
2111.525635 1
0.5%
2111.52745 1
0.5%
2111.528217 1
0.5%
ValueCountFrequency (%)
2111.725216 1
0.5%
2111.713448 1
0.5%
2111.713393 1
0.5%
2111.70651 1
0.5%
2111.704643 1
0.5%
2111.700287 1
0.5%
2111.693477 1
0.5%
2111.692342 1
0.5%
2111.691479 1
0.5%
2111.691343 1
0.5%
2023-04-16T22:55:50.225664image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ACF and PACF

Avg_VW1_Z10D5001Tp_F
Numeric time series

HIGH CORRELATION  NON STATIONARY 

Distinct79
Distinct (%)39.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.70588
Minimum104.6995
Maximum104.72874
Zeros0
Zeros (%)0.0%
Memory size1.7 KiB
2023-04-16T22:55:50.478892image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum104.6995
5-th percentile104.6995
Q1104.6995
median104.70106
Q3104.7106
95-th percentile104.72091
Maximum104.72874
Range0.0292344
Interquartile range (IQR)0.0110998

Descriptive statistics

Standard deviation0.0079096185
Coefficient of variation (CV)7.5541305 × 10-5
Kurtosis0.031174692
Mean104.70588
Median Absolute Deviation (MAD)0.00156
Skewness1.0248889
Sum21045.881
Variance6.2562066 × 10-5
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.8189977165
2023-04-16T22:55:50.624689image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104.699501 99
49.3%
104.7098358 4
 
2.0%
104.702681 4
 
2.0%
104.703476 3
 
1.5%
104.7082308 3
 
1.5%
104.7058609 3
 
1.5%
104.7114258 2
 
1.0%
104.7137357 2
 
1.0%
104.7114108 2
 
1.0%
104.7042709 2
 
1.0%
Other values (69) 77
38.3%
ValueCountFrequency (%)
104.699501 99
49.3%
104.700296 1
 
0.5%
104.701061 1
 
0.5%
104.701886 1
 
0.5%
104.702666 1
 
0.5%
104.702681 4
 
2.0%
104.703476 3
 
1.5%
104.7042409 1
 
0.5%
104.7042559 1
 
0.5%
104.7042709 2
 
1.0%
ValueCountFrequency (%)
104.7287354 1
0.5%
104.7280004 1
0.5%
104.7279104 1
0.5%
104.7278203 1
0.5%
104.7256304 1
0.5%
104.7248955 1
0.5%
104.7246854 1
0.5%
104.7217306 1
0.5%
104.7217005 1
0.5%
104.7215205 1
0.5%
2023-04-16T22:55:50.814186image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ACF and PACF

Avg_VW1_Z09D5653Ps_psi
Numeric time series

HIGH CORRELATION  NON STATIONARY 

Distinct103
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2557.3894
Minimum2557.2438
Maximum2557.6998
Zeros0
Zeros (%)0.0%
Memory size1.7 KiB
2023-04-16T22:55:51.053856image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2557.2438
5-th percentile2557.2941
Q12557.324
median2557.324
Q32557.4508
95-th percentile2557.6334
Maximum2557.6998
Range0.455939
Interquartile range (IQR)0.126853

Descriptive statistics

Standard deviation0.10888887
Coefficient of variation (CV)4.2578135 × 10-5
Kurtosis0.43724868
Mean2557.3894
Median Absolute Deviation (MAD)0.002932
Skewness1.2837195
Sum514035.26
Variance0.011856786
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.7926483566
2023-04-16T22:55:51.190485image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2557.323975 99
49.3%
2557.49708 1
 
0.5%
2557.646397 1
 
0.5%
2557.606938 1
 
0.5%
2557.632886 1
 
0.5%
2557.504985 1
 
0.5%
2557.639209 1
 
0.5%
2557.559326 1
 
0.5%
2557.588761 1
 
0.5%
2557.624703 1
 
0.5%
Other values (93) 93
46.3%
ValueCountFrequency (%)
2557.243815 1
0.5%
2557.255373 1
0.5%
2557.268203 1
0.5%
2557.279508 1
0.5%
2557.280983 1
0.5%
2557.283307 1
0.5%
2557.289598 1
0.5%
2557.291081 1
0.5%
2557.291473 1
0.5%
2557.293829 1
0.5%
ValueCountFrequency (%)
2557.699754 1
0.5%
2557.684723 1
0.5%
2557.683868 1
0.5%
2557.676949 1
0.5%
2557.649941 1
0.5%
2557.646411 1
0.5%
2557.646397 1
0.5%
2557.641107 1
0.5%
2557.639209 1
0.5%
2557.637882 1
0.5%
2023-04-16T22:55:51.346002image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ACF and PACF

Avg_VW1_Z09D5653Tp_F
Numeric time series

HIGH CORRELATION  NON STATIONARY 

Distinct54
Distinct (%)26.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.851
Minimum114.8227
Maximum114.9271
Zeros0
Zeros (%)0.0%
Memory size1.7 KiB
2023-04-16T22:55:51.571425image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum114.8227
5-th percentile114.8227
Q1114.8227
median114.82357
Q3114.89491
95-th percentile114.92101
Maximum114.9271
Range0.1044006
Interquartile range (IQR)0.0722104

Descriptive statistics

Standard deviation0.038809165
Coefficient of variation (CV)0.0003379088
Kurtosis-1.2047102
Mean114.851
Median Absolute Deviation (MAD)0.00087
Skewness0.80617115
Sum23085.052
Variance0.0015061513
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.9652515547
2023-04-16T22:55:51.706711image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
114.8227005 99
49.3%
114.8244405 5
 
2.5%
114.8253105 4
 
2.0%
114.8261805 4
 
2.0%
114.903611 4
 
2.0%
114.904481 3
 
1.5%
114.8270505 3
 
1.5%
114.8931709 3
 
1.5%
114.897521 3
 
1.5%
114.908831 3
 
1.5%
Other values (44) 70
34.8%
ValueCountFrequency (%)
114.8227005 99
49.3%
114.8235705 2
 
1.0%
114.8244405 5
 
2.5%
114.8253105 4
 
2.0%
114.8261805 4
 
2.0%
114.8270505 3
 
1.5%
114.8279205 2
 
1.0%
114.8287905 3
 
1.5%
114.8296605 1
 
0.5%
114.8305305 2
 
1.0%
ValueCountFrequency (%)
114.9271011 1
 
0.5%
114.9244911 2
1.0%
114.9236211 2
1.0%
114.9227511 2
1.0%
114.9218811 1
 
0.5%
114.9210111 3
1.5%
114.9201411 1
 
0.5%
114.9175311 1
 
0.5%
114.9166611 1
 
0.5%
114.9157911 1
 
0.5%
2023-04-16T22:55:51.857274image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ACF and PACF

Avg_VW1_Z08D5840Ps_psi
Numeric time series

Distinct103
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2644.3746
Minimum2644.1219
Maximum2644.5359
Zeros0
Zeros (%)0.0%
Memory size1.7 KiB
2023-04-16T22:55:52.080854image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2644.1219
5-th percentile2644.1932
Q12644.3685
median2644.408
Q32644.408
95-th percentile2644.4621
Maximum2644.5359
Range0.414056
Interquartile range (IQR)0.039494

Descriptive statistics

Standard deviation0.083253976
Coefficient of variation (CV)3.1483427 × 10-5
Kurtosis1.0817614
Mean2644.3746
Median Absolute Deviation (MAD)0.001615
Skewness-1.3222295
Sum531519.29
Variance0.0069312245
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.009136920313
2023-04-16T22:55:52.260400image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2644.407959 99
49.3%
2644.446405 1
 
0.5%
2644.43468 1
 
0.5%
2644.397788 1
 
0.5%
2644.382343 1
 
0.5%
2644.535933 1
 
0.5%
2644.43087 1
 
0.5%
2644.431201 1
 
0.5%
2644.347609 1
 
0.5%
2644.368465 1
 
0.5%
Other values (93) 93
46.3%
ValueCountFrequency (%)
2644.121877 1
0.5%
2644.138062 1
0.5%
2644.140916 1
0.5%
2644.142706 1
0.5%
2644.145174 1
0.5%
2644.163603 1
0.5%
2644.167285 1
0.5%
2644.170178 1
0.5%
2644.184383 1
0.5%
2644.189439 1
0.5%
ValueCountFrequency (%)
2644.535933 1
0.5%
2644.532452 1
0.5%
2644.503516 1
0.5%
2644.502968 1
0.5%
2644.497691 1
0.5%
2644.494228 1
0.5%
2644.488139 1
0.5%
2644.482605 1
0.5%
2644.471682 1
0.5%
2644.468178 1
0.5%
2023-04-16T22:55:52.445163image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ACF and PACF

Avg_VW1_Z08D5840Tp_F
Numeric time series

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.98864
Minimum114.36667
Maximum115
Zeros0
Zeros (%)0.0%
Memory size1.7 KiB
2023-04-16T22:55:52.683452image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum114.36667
5-th percentile115
Q1115
median115
Q3115
95-th percentile115
Maximum115
Range0.6333333
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.076798997
Coefficient of variation (CV)0.00066788334
Kurtosis48.606741
Mean114.98864
Median Absolute Deviation (MAD)0
Skewness-7.0136617
Sum23112.717
Variance0.0058980859
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.001792031922
2023-04-16T22:55:52.804166image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
115 193
96.0%
114.9916667 3
 
1.5%
114.5333333 1
 
0.5%
114.4333333 1
 
0.5%
114.3666667 1
 
0.5%
114.4916667 1
 
0.5%
114.9166667 1
 
0.5%
ValueCountFrequency (%)
114.3666667 1
 
0.5%
114.4333333 1
 
0.5%
114.4916667 1
 
0.5%
114.5333333 1
 
0.5%
114.9166667 1
 
0.5%
114.9916667 3
 
1.5%
115 193
96.0%
ValueCountFrequency (%)
115 193
96.0%
114.9916667 3
 
1.5%
114.9166667 1
 
0.5%
114.5333333 1
 
0.5%
114.4916667 1
 
0.5%
114.4333333 1
 
0.5%
114.3666667 1
 
0.5%
2023-04-16T22:55:52.940791image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ACF and PACF

Avg_VW1_Z07D6416Ps_psi
Numeric time series

Distinct103
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2926.2845
Minimum2926.0745
Maximum2926.3818
Zeros0
Zeros (%)0.0%
Memory size1.7 KiB
2023-04-16T22:55:53.170045image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2926.0745
5-th percentile2926.1857
Q12926.261
median2926.312
Q32926.312
95-th percentile2926.3308
Maximum2926.3818
Range0.307217
Interquartile range (IQR)0.050997

Descriptive statistics

Standard deviation0.051212421
Coefficient of variation (CV)1.7500834 × 10-5
Kurtosis3.178722
Mean2926.2845
Median Absolute Deviation (MAD)0.001184
Skewness-1.7359032
Sum588183.19
Variance0.002622712
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value6.296035839 × 10-6
2023-04-16T22:55:53.309674image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2926.312012 99
49.3%
2926.274493 1
 
0.5%
2926.3251 1
 
0.5%
2926.315385 1
 
0.5%
2926.328009 1
 
0.5%
2926.27262 1
 
0.5%
2926.327205 1
 
0.5%
2926.301005 1
 
0.5%
2926.321495 1
 
0.5%
2926.335173 1
 
0.5%
Other values (93) 93
46.3%
ValueCountFrequency (%)
2926.07455 1
0.5%
2926.10109 1
0.5%
2926.104256 1
0.5%
2926.112382 1
0.5%
2926.12063 1
0.5%
2926.12326 1
0.5%
2926.145673 1
0.5%
2926.161654 1
0.5%
2926.178078 1
0.5%
2926.179631 1
0.5%
ValueCountFrequency (%)
2926.381767 1
0.5%
2926.360647 1
0.5%
2926.355251 1
0.5%
2926.347833 1
0.5%
2926.34778 1
0.5%
2926.338273 1
0.5%
2926.335173 1
0.5%
2926.335055 1
0.5%
2926.333185 1
0.5%
2926.331812 1
0.5%
2023-04-16T22:55:53.475284image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ACF and PACF

Avg_VW1_Z07D6416Tp_F
Numeric time series

HIGH CORRELATION  NON STATIONARY 

Distinct86
Distinct (%)42.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.26729
Minimum117.22478
Maximum117.35395
Zeros0
Zeros (%)0.0%
Memory size1.7 KiB
2023-04-16T22:55:53.706286image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum117.22478
5-th percentile117.23432
Q1117.2383
median117.2383
Q3117.32178
95-th percentile117.33382
Maximum117.35395
Range0.12917
Interquartile range (IQR)0.0834799

Descriptive statistics

Standard deviation0.042078871
Coefficient of variation (CV)0.00035882873
Kurtosis-1.3374373
Mean117.26729
Median Absolute Deviation (MAD)9.9999994 × 10-8
Skewness0.75896399
Sum23570.725
Variance0.0017706314
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.9460575116
2023-04-16T22:55:53.854897image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
117.2382965 100
49.8%
117.246247 3
 
1.5%
117.2406818 3
 
1.5%
117.3233665 3
 
1.5%
117.3217764 2
 
1.0%
117.2255768 2
 
1.0%
117.3337619 2
 
1.0%
117.3234115 2
 
1.0%
117.2359116 2
 
1.0%
117.3265766 2
 
1.0%
Other values (76) 80
39.8%
ValueCountFrequency (%)
117.2247818 1
0.5%
117.2255768 2
1.0%
117.2271667 1
0.5%
117.2287567 1
0.5%
117.2311417 1
0.5%
117.2319367 1
0.5%
117.2327317 1
0.5%
117.2335417 1
0.5%
117.2343216 1
0.5%
117.2343217 1
0.5%
ValueCountFrequency (%)
117.3539518 1
0.5%
117.3458668 1
0.5%
117.3450419 1
0.5%
117.3442468 1
0.5%
117.3426269 1
0.5%
117.3386068 1
0.5%
117.337767 1
0.5%
117.3353519 1
0.5%
117.3345569 2
1.0%
117.3338219 1
0.5%
2023-04-16T22:55:54.016434image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ACF and PACF

Avg_VW1_Z06D6632Ps_psi
Numeric time series

HIGH CORRELATION  NON STATIONARY 

Distinct103
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3202.308
Minimum3200.8911
Maximum3207.6005
Zeros0
Zeros (%)0.0%
Memory size1.7 KiB
2023-04-16T22:55:54.252419image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3200.8911
5-th percentile3200.8911
Q13200.8911
median3201.0188
Q33201.6186
95-th percentile3207.4473
Maximum3207.6005
Range6.70939
Interquartile range (IQR)0.727503

Descriptive statistics

Standard deviation2.4150229
Coefficient of variation (CV)0.00075415074
Kurtosis0.19431336
Mean3202.308
Median Absolute Deviation (MAD)0.12768
Skewness1.42286
Sum643663.9
Variance5.8323358
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.07509616534
2023-04-16T22:55:54.398860image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3200.891113 99
49.3%
3201.129449 1
 
0.5%
3201.5874 1
 
0.5%
3201.618616 1
 
0.5%
3201.633966 1
 
0.5%
3201.14103 1
 
0.5%
3201.613627 1
 
0.5%
3201.572103 1
 
0.5%
3201.532375 1
 
0.5%
3201.45273 1
 
0.5%
Other values (93) 93
46.3%
ValueCountFrequency (%)
3200.891113 99
49.3%
3200.893241 1
 
0.5%
3201.018793 1
 
0.5%
3201.028463 1
 
0.5%
3201.035756 1
 
0.5%
3201.037492 1
 
0.5%
3201.037813 1
 
0.5%
3201.047913 1
 
0.5%
3201.051963 1
 
0.5%
3201.053033 1
 
0.5%
ValueCountFrequency (%)
3207.600503 1
0.5%
3207.591974 1
0.5%
3207.587136 1
0.5%
3207.58479 1
0.5%
3207.582874 1
0.5%
3207.5769 1
0.5%
3207.54753 1
0.5%
3207.507513 1
0.5%
3207.494576 1
0.5%
3207.467684 1
0.5%
2023-04-16T22:55:54.555435image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ACF and PACF

Avg_VW1_Z06D6632Tp_F
Numeric time series

HIGH CORRELATION  NON STATIONARY 

Distinct88
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.59243
Minimum116.5692
Maximum116.63584
Zeros0
Zeros (%)0.0%
Memory size1.7 KiB
2023-04-16T22:55:54.787473image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum116.5692
5-th percentile116.58268
Q1116.5885
median116.5885
Q3116.59567
95-th percentile116.60932
Maximum116.63584
Range0.0666433
Interquartile range (IQR)0.0071698

Descriptive statistics

Standard deviation0.0090273779
Coefficient of variation (CV)7.7426795 × 10-5
Kurtosis4.6820366
Mean116.59243
Median Absolute Deviation (MAD)0.000735
Skewness1.5332179
Sum23435.078
Variance8.1493552 × 10-5
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.995142962
2023-04-16T22:55:54.923104image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
116.588501 99
49.3%
116.5956708 4
 
2.0%
116.5925059 3
 
1.5%
116.6028107 3
 
1.5%
116.5980708 2
 
1.0%
116.6012357 2
 
1.0%
116.5948908 2
 
1.0%
116.6186796 2
 
1.0%
116.5964358 2
 
1.0%
116.5834605 2
 
1.0%
Other values (78) 80
39.8%
ValueCountFrequency (%)
116.5691958 1
0.5%
116.5715958 1
0.5%
116.5731707 1
0.5%
116.5732007 1
0.5%
116.5747457 1
0.5%
116.5747607 1
0.5%
116.5778506 1
0.5%
116.5803256 1
0.5%
116.5803406 1
0.5%
116.5818105 1
0.5%
ValueCountFrequency (%)
116.6358391 1
0.5%
116.62438 1
0.5%
116.6240646 1
0.5%
116.6236 1
0.5%
116.6192947 1
0.5%
116.6186796 2
1.0%
116.6124397 1
0.5%
116.6111204 1
0.5%
116.6095754 1
0.5%
116.6093198 1
0.5%
2023-04-16T22:55:55.088336image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ACF and PACF

Avg_VW1_Z05D6720Ps_psi
Numeric time series

HIGH CORRELATION  NON STATIONARY 

Distinct103
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3071.7801
Minimum3071.3514
Maximum3072.4673
Zeros0
Zeros (%)0.0%
Memory size1.7 KiB
2023-04-16T22:55:55.314724image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3071.3514
5-th percentile3071.422
Q13071.585
median3071.585
Q33072.1383
95-th percentile3072.3576
Maximum3072.4673
Range1.115855
Interquartile range (IQR)0.553367

Descriptive statistics

Standard deviation0.31878915
Coefficient of variation (CV)0.00010377994
Kurtosis-0.92917124
Mean3071.7801
Median Absolute Deviation (MAD)0.005351
Skewness0.83499548
Sum617427.8
Variance0.10162652
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.9391774597
2023-04-16T22:55:55.446310image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3071.584961 99
49.3%
3072.277834 1
 
0.5%
3072.327222 1
 
0.5%
3072.305509 1
 
0.5%
3072.306348 1
 
0.5%
3072.188121 1
 
0.5%
3072.308604 1
 
0.5%
3072.295404 1
 
0.5%
3072.327881 1
 
0.5%
3072.301571 1
 
0.5%
Other values (93) 93
46.3%
ValueCountFrequency (%)
3071.35144 1
0.5%
3071.359377 1
0.5%
3071.369057 1
0.5%
3071.392399 1
0.5%
3071.393272 1
0.5%
3071.396043 1
0.5%
3071.399135 1
0.5%
3071.399707 1
0.5%
3071.404053 1
0.5%
3071.415031 1
0.5%
ValueCountFrequency (%)
3072.467295 1
0.5%
3072.457159 1
0.5%
3072.456765 1
0.5%
3072.42899 1
0.5%
3072.415304 1
0.5%
3072.403707 1
0.5%
3072.393591 1
0.5%
3072.374371 1
0.5%
3072.361387 1
0.5%
3072.36004 1
0.5%
2023-04-16T22:55:55.597874image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ACF and PACF

Avg_VW1_Z05D6720Tp_F
Numeric time series

HIGH CORRELATION  NON STATIONARY 

Distinct102
Distinct (%)50.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.62308
Minimum117.17905
Maximum118.24405
Zeros0
Zeros (%)0.0%
Memory size1.7 KiB
2023-04-16T22:55:55.831856image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum117.17905
5-th percentile117.21055
Q1117.4183
median117.4183
Q3118.00591
95-th percentile118.20213
Maximum118.24405
Range1.0650006
Interquartile range (IQR)0.5876124

Descriptive statistics

Standard deviation0.3322725
Coefficient of variation (CV)0.0028248921
Kurtosis-1.2079094
Mean117.62308
Median Absolute Deviation (MAD)0.0029995
Skewness0.70880917
Sum23642.239
Variance0.11040501
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.9532248202
2023-04-16T22:55:55.963531image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
117.4182968 99
49.3%
117.1947983 2
 
1.0%
118.2074655 1
 
0.5%
118.1652088 1
 
0.5%
118.1501933 1
 
0.5%
118.1660939 1
 
0.5%
118.0471762 1
 
0.5%
118.1554734 1
 
0.5%
118.1405183 1
 
0.5%
118.1100689 1
 
0.5%
Other values (92) 92
45.8%
ValueCountFrequency (%)
117.1790489 1
0.5%
117.1887985 1
0.5%
117.1932983 1
0.5%
117.1947983 2
1.0%
117.1985481 1
0.5%
117.1992981 1
0.5%
117.2000481 1
0.5%
117.2075027 1
0.5%
117.2097977 1
0.5%
117.2105477 1
0.5%
ValueCountFrequency (%)
118.2440495 1
0.5%
118.2288408 1
0.5%
118.219016 1
0.5%
118.2168409 1
0.5%
118.216181 1
0.5%
118.2160309 1
0.5%
118.2126707 1
0.5%
118.2116657 1
0.5%
118.2115154 1
0.5%
118.2074655 1
0.5%
2023-04-16T22:55:56.113732image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ACF and PACF

Avg_VW1_Z04D6837Ps_psi
Numeric time series

HIGH CORRELATION  NON STATIONARY 

Distinct103
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3170.6375
Minimum3164.358
Maximum3180.0466
Zeros0
Zeros (%)0.0%
Memory size1.7 KiB
2023-04-16T22:55:56.341723image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3164.358
5-th percentile3164.4479
Q13166.8149
median3166.8149
Q33178.775
95-th percentile3179.8581
Maximum3180.0466
Range15.688536
Interquartile range (IQR)11.960063

Descriptive statistics

Standard deviation6.1882398
Coefficient of variation (CV)0.0019517336
Kurtosis-1.4789312
Mean3170.6375
Median Absolute Deviation (MAD)0.090356
Skewness0.66629125
Sum637298.13
Variance38.294312
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.937647729
2023-04-16T22:55:56.484654image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3166.814941 99
49.3%
3179.020184 1
 
0.5%
3179.743842 1
 
0.5%
3179.715393 1
 
0.5%
3179.672424 1
 
0.5%
3179.147028 1
 
0.5%
3179.653853 1
 
0.5%
3179.653328 1
 
0.5%
3179.6709 1
 
0.5%
3179.671425 1
 
0.5%
Other values (93) 93
46.3%
ValueCountFrequency (%)
3164.358022 1
0.5%
3164.37255 1
0.5%
3164.375201 1
0.5%
3164.387146 1
0.5%
3164.404224 1
0.5%
3164.411707 1
0.5%
3164.435156 1
0.5%
3164.43571 1
0.5%
3164.437571 1
0.5%
3164.446883 1
0.5%
ValueCountFrequency (%)
3180.046558 1
0.5%
3180.016457 1
0.5%
3179.998344 1
0.5%
3179.932792 1
0.5%
3179.919322 1
0.5%
3179.91071 1
0.5%
3179.881278 1
0.5%
3179.877376 1
0.5%
3179.869181 1
0.5%
3179.867983 1
0.5%
2023-04-16T22:55:56.641206image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ACF and PACF

Avg_VW1_Z04D6837Tp_F
Numeric time series

HIGH CORRELATION  NON STATIONARY 

Distinct98
Distinct (%)48.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.10918
Minimum123.95002
Maximum124.2989
Zeros0
Zeros (%)0.0%
Memory size1.7 KiB
2023-04-16T22:55:56.872229image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum123.95002
5-th percentile123.98038
Q1124.0657
median124.0657
Q3124.21447
95-th percentile124.28411
Maximum124.2989
Range0.3488821
Interquartile range (IQR)0.1487764

Descriptive statistics

Standard deviation0.0976555
Coefficient of variation (CV)0.00078685156
Kurtosis-1.0245138
Mean124.10918
Median Absolute Deviation (MAD)0.0369568
Skewness0.48697659
Sum24945.945
Variance0.0095365967
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.728986689
2023-04-16T22:55:57.011863image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
124.0656967 99
49.3%
123.9559593 2
 
1.0%
123.9612389 2
 
1.0%
124.2274628 2
 
1.0%
123.9843369 2
 
1.0%
124.2459412 2
 
1.0%
123.9500198 1
 
0.5%
124.2192968 1
 
0.5%
124.2169933 1
 
0.5%
124.2002182 1
 
0.5%
Other values (88) 88
43.8%
ValueCountFrequency (%)
123.9500198 1
0.5%
123.9506798 1
0.5%
123.9526596 1
0.5%
123.9533195 1
0.5%
123.9559593 2
1.0%
123.9612389 2
1.0%
123.9704781 1
0.5%
123.9803773 1
0.5%
123.9803774 1
0.5%
123.983017 1
0.5%
ValueCountFrequency (%)
124.2989019 1
0.5%
124.2929918 1
0.5%
124.2890318 1
0.5%
124.2883718 1
0.5%
124.2878618 1
0.5%
124.2875469 1
0.5%
124.2867821 1
0.5%
124.2860919 1
0.5%
124.285942 1
0.5%
124.285327 1
0.5%
2023-04-16T22:55:57.176624image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ACF and PACF

Avg_VW1_Z03D6945Ps_psi
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)1.5%
Missing133
Missing (%)66.2%
Memory size1.7 KiB
0.0
68 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters204
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 68
33.8%
(Missing) 133
66.2%

Length

2023-04-16T22:55:57.398307image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-04-16T22:55:57.536603image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.0 68
100.0%

Most occurring characters

ValueCountFrequency (%)
0 136
66.7%
. 68
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 136
66.7%
Other Punctuation 68
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 136
100.0%
Other Punctuation
ValueCountFrequency (%)
. 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 204
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 136
66.7%
. 68
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 204
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 136
66.7%
. 68
33.3%

Avg_VW1_Z03D6945Tp_F
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)1.5%
Missing133
Missing (%)66.2%
Memory size1.7 KiB
0.0
68 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters204
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 68
33.8%
(Missing) 133
66.2%

Length

2023-04-16T22:55:57.630346image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-04-16T22:55:57.733734image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.0 68
100.0%

Most occurring characters

ValueCountFrequency (%)
0 136
66.7%
. 68
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 136
66.7%
Other Punctuation 68
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 136
100.0%
Other Punctuation
ValueCountFrequency (%)
. 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 204
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 136
66.7%
. 68
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 204
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 136
66.7%
. 68
33.3%

Avg_VW1_Z02D6982Ps_psi
Numeric time series

HIGH CORRELATION  NON STATIONARY 

Distinct103
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3322.508
Minimum3319.4203
Maximum3323.7226
Zeros0
Zeros (%)0.0%
Memory size1.7 KiB
2023-04-16T22:55:57.823505image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3319.4203
5-th percentile3319.7977
Q13320.9827
median3323.4641
Q33323.4641
95-th percentile3323.654
Maximum3323.7226
Range4.30232
Interquartile range (IQR)2.481429

Descriptive statistics

Standard deviation1.446788
Coefficient of variation (CV)0.00043545057
Kurtosis-1.0217309
Mean3322.508
Median Absolute Deviation (MAD)0.001113
Skewness-0.86884325
Sum667824.11
Variance2.0931955
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.8150640763
2023-04-16T22:55:57.949170image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3323.464111 99
49.3%
3320.412351 1
 
0.5%
3320.941386 1
 
0.5%
3320.902321 1
 
0.5%
3320.858049 1
 
0.5%
3320.427897 1
 
0.5%
3320.846649 1
 
0.5%
3320.825684 1
 
0.5%
3320.857168 1
 
0.5%
3320.808474 1
 
0.5%
Other values (93) 93
46.3%
ValueCountFrequency (%)
3319.420296 1
0.5%
3319.473708 1
0.5%
3319.485158 1
0.5%
3319.552144 1
0.5%
3319.573104 1
0.5%
3319.61131 1
0.5%
3319.684696 1
0.5%
3319.709265 1
0.5%
3319.740417 1
0.5%
3319.742118 1
0.5%
ValueCountFrequency (%)
3323.722616 1
0.5%
3323.718937 1
0.5%
3323.706222 1
0.5%
3323.701447 1
0.5%
3323.690678 1
0.5%
3323.681476 1
0.5%
3323.67901 1
0.5%
3323.674809 1
0.5%
3323.670215 1
0.5%
3323.654604 1
0.5%
2023-04-16T22:55:58.095145image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ACF and PACF

Avg_VW1_Z02D6982Tp_F
Numeric time series

Distinct86
Distinct (%)42.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.50531
Minimum123.43224
Maximum123.53689
Zeros0
Zeros (%)0.0%
Memory size1.7 KiB
2023-04-16T22:55:58.347458image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum123.43224
5-th percentile123.44326
Q1123.50034
median123.5203
Q3123.5203
95-th percentile123.52575
Maximum123.53689
Range0.1046557
Interquartile range (IQR)0.0199641

Descriptive statistics

Standard deviation0.027656132
Coefficient of variation (CV)0.00022392666
Kurtosis0.79866187
Mean123.50531
Median Absolute Deviation (MAD)6.05 × 10-5
Skewness-1.5128452
Sum24824.568
Variance0.00076486166
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.04153740529
2023-04-16T22:55:58.482117image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
123.5203018 99
49.3%
123.5229724 4
 
2.0%
123.4450617 3
 
1.5%
123.4373667 3
 
1.5%
123.5168823 2
 
1.0%
123.5160123 2
 
1.0%
123.5238424 2
 
1.0%
123.5203623 2
 
1.0%
123.5299474 2
 
1.0%
123.5177523 2
 
1.0%
Other values (76) 80
39.8%
ValueCountFrequency (%)
123.4322367 1
 
0.5%
123.4348017 1
 
0.5%
123.4364967 1
 
0.5%
123.4365117 2
1.0%
123.4373667 3
1.5%
123.4390767 1
 
0.5%
123.4424967 1
 
0.5%
123.4432617 1
 
0.5%
123.4433517 2
1.0%
123.4450617 3
1.5%
ValueCountFrequency (%)
123.5368924 1
0.5%
123.5316724 1
0.5%
123.5308324 1
0.5%
123.5300824 1
0.5%
123.5299474 2
1.0%
123.5299324 1
0.5%
123.5290924 1
0.5%
123.5273674 1
0.5%
123.5264674 1
0.5%
123.5257474 1
0.5%
2023-04-16T22:55:58.637708image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ACF and PACF

Avg_VW1_Z01D7061Ps_psi
Numeric time series

HIGH CORRELATION  NON STATIONARY 

Distinct103
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3320.4654
Minimum3319.9678
Maximum3321.7544
Zeros0
Zeros (%)0.0%
Memory size1.7 KiB
2023-04-16T22:55:58.862909image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3319.9678
5-th percentile3320.0061
Q13320.0061
median3320.0061
Q33321.0014
95-th percentile3321.5085
Maximum3321.7544
Range1.786656
Interquartile range (IQR)0.995265

Descriptive statistics

Standard deviation0.56290661
Coefficient of variation (CV)0.00016952642
Kurtosis-0.91661679
Mean3320.4654
Median Absolute Deviation (MAD)0.010954
Skewness0.78159933
Sum667413.55
Variance0.31686385
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.98112626
2023-04-16T22:55:59.004530image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3320.006104 99
49.3%
3321.121855 1
 
0.5%
3321.278776 1
 
0.5%
3321.317625 1
 
0.5%
3321.288182 1
 
0.5%
3321.144765 1
 
0.5%
3321.295038 1
 
0.5%
3321.268774 1
 
0.5%
3321.224699 1
 
0.5%
3321.257477 1
 
0.5%
Other values (93) 93
46.3%
ValueCountFrequency (%)
3319.967753 1
 
0.5%
3319.99515 1
 
0.5%
3320.005151 1
 
0.5%
3320.006104 99
49.3%
3320.269031 1
 
0.5%
3320.276693 1
 
0.5%
3320.292712 1
 
0.5%
3320.296539 1
 
0.5%
3320.298985 1
 
0.5%
3320.306563 1
 
0.5%
ValueCountFrequency (%)
3321.754409 1
0.5%
3321.729205 1
0.5%
3321.724227 1
0.5%
3321.721102 1
0.5%
3321.700452 1
0.5%
3321.677948 1
0.5%
3321.655721 1
0.5%
3321.610999 1
0.5%
3321.561338 1
0.5%
3321.519218 1
0.5%
2023-04-16T22:55:59.173835image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ACF and PACF

Avg_VW1_Z01D7061Tp_F
Numeric time series

HIGH CORRELATION  NON STATIONARY 

Distinct101
Distinct (%)50.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.49614
Minimum122.45357
Maximum122.5591
Zeros0
Zeros (%)0.0%
Memory size1.7 KiB
2023-04-16T22:55:59.398543image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum122.45357
5-th percentile122.46704
Q1122.4799
median122.4799
Q3122.5258
95-th percentile122.54768
Maximum122.5591
Range0.1055241
Interquartile range (IQR)0.0459017

Descriptive statistics

Standard deviation0.028151888
Coefficient of variation (CV)0.00022981858
Kurtosis-0.95956955
Mean122.49614
Median Absolute Deviation (MAD)0.0001643
Skewness0.78539974
Sum24621.723
Variance0.00079252879
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.9762963116
2023-04-16T22:55:59.531781image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
122.4798965 99
49.3%
122.4663827 2
 
1.0%
122.4670576 2
 
1.0%
122.5240449 1
 
0.5%
122.5320994 1
 
0.5%
122.5334792 1
 
0.5%
122.5247049 1
 
0.5%
122.5314842 1
 
0.5%
122.5402884 1
 
0.5%
122.5395686 1
 
0.5%
Other values (91) 91
45.3%
ValueCountFrequency (%)
122.4535736 1
0.5%
122.4575934 1
0.5%
122.4582982 1
0.5%
122.4589732 1
0.5%
122.4603231 1
0.5%
122.4623479 1
0.5%
122.4636829 1
0.5%
122.4663827 2
1.0%
122.4663976 1
0.5%
122.4670427 1
0.5%
ValueCountFrequency (%)
122.5590977 1
0.5%
122.5563976 1
0.5%
122.5557227 1
0.5%
122.5543727 1
0.5%
122.5536978 1
0.5%
122.5516731 1
0.5%
122.5509979 1
0.5%
122.5503231 1
0.5%
122.550323 1
0.5%
122.5489731 1
0.5%
2023-04-16T22:55:59.679387image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ACF and PACF

Avg_VW1_Z0910D5482Ps_psi
Numeric time series

HIGH CORRELATION  NON STATIONARY 

Distinct103
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2636.5636
Minimum2635.1517
Maximum2641.7887
Zeros0
Zeros (%)0.0%
Memory size1.7 KiB
2023-04-16T22:55:59.908049image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2635.1517
5-th percentile2635.155
Q12635.155
median2635.1555
Q32635.9448
95-th percentile2641.6276
Maximum2641.7887
Range6.636948
Interquartile range (IQR)0.789785

Descriptive statistics

Standard deviation2.381985
Coefficient of variation (CV)0.00090344303
Kurtosis0.16976991
Mean2636.5636
Median Absolute Deviation (MAD)0.003731
Skewness1.4149183
Sum529949.27
Variance5.6738524
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.07590177709
2023-04-16T22:56:00.057655image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2635.155029 99
49.3%
2635.469356 1
 
0.5%
2635.886226 1
 
0.5%
2635.94696 1
 
0.5%
2635.972095 1
 
0.5%
2635.45297 1
 
0.5%
2635.944814 1
 
0.5%
2635.86947 1
 
0.5%
2635.785427 1
 
0.5%
2635.675527 1
 
0.5%
Other values (93) 93
46.3%
ValueCountFrequency (%)
2635.151744 1
 
0.5%
2635.155029 99
49.3%
2635.155475 1
 
0.5%
2635.258598 1
 
0.5%
2635.335763 1
 
0.5%
2635.337065 1
 
0.5%
2635.339913 1
 
0.5%
2635.346637 1
 
0.5%
2635.365125 1
 
0.5%
2635.36652 1
 
0.5%
ValueCountFrequency (%)
2641.788692 1
0.5%
2641.754956 1
0.5%
2641.748617 1
0.5%
2641.740084 1
0.5%
2641.713418 1
0.5%
2641.688436 1
0.5%
2641.674925 1
0.5%
2641.66441 1
0.5%
2641.633761 1
0.5%
2641.630886 1
0.5%
2023-04-16T22:56:00.219892image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ACF and PACF

Avg_VW1_Z0910D5482Tp_F
Numeric time series

Distinct93
Distinct (%)46.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.56252
Minimum110.52038
Maximum110.57894
Zeros0
Zeros (%)0.0%
Memory size1.7 KiB
2023-04-16T22:56:00.441275image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum110.52038
5-th percentile110.54344
Q1110.55769
median110.5693
Q3110.5693
95-th percentile110.5693
Maximum110.57894
Range0.0585604
Interquartile range (IQR)0.0116109

Descriptive statistics

Standard deviation0.0099057022
Coefficient of variation (CV)8.9593668 × 10-5
Kurtosis1.6419762
Mean110.56252
Median Absolute Deviation (MAD)0.0004209
Skewness-1.3769589
Sum22223.068
Variance9.8122936 × 10-5
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value1.391948847 × 10-5
2023-04-16T22:56:00.579905image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
110.5692978 100
49.8%
110.562803 4
 
2.0%
110.5490481 2
 
1.0%
110.561993 2
 
1.0%
110.559563 2
 
1.0%
110.550592 2
 
1.0%
110.558753 2
 
1.0%
110.560373 2
 
1.0%
110.5434372 1
 
0.5%
110.557103 1
 
0.5%
Other values (83) 83
41.3%
ValueCountFrequency (%)
110.5203827 1
0.5%
110.5299225 1
0.5%
110.5315125 1
0.5%
110.537753 1
0.5%
110.5378881 1
0.5%
110.5416072 1
0.5%
110.541743 1
0.5%
110.5418322 1
0.5%
110.5419825 1
0.5%
110.5433482 1
0.5%
ValueCountFrequency (%)
110.5789431 1
 
0.5%
110.5787027 1
 
0.5%
110.574113 1
 
0.5%
110.5738128 1
 
0.5%
110.5723427 1
 
0.5%
110.5721621 1
 
0.5%
110.5692978 100
49.8%
110.5688769 1
 
0.5%
110.568398 1
 
0.5%
110.5672721 1
 
0.5%
2023-04-16T22:56:00.738080image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ACF and PACF

Interactions

2023-04-16T22:55:37.299973image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:29.036826image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:33.403476image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:37.705863image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:41.600957image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:45.702398image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:50.051251image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:54.213015image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:58.580945image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:02.827183image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:07.171633image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:11.778500image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:15.838572image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:20.023017image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:24.536312image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:28.515516image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:32.498164image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:36.476953image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2023-04-16T22:54:49.344211image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2023-04-16T22:54:58.191726image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:02.314919image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:06.904469image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:11.869330image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2023-04-16T22:55:33.222552image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2023-04-16T22:53:29.181825image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:33.536046image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:37.825579image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2023-04-16T22:53:45.862942image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2023-04-16T22:54:11.906779image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:15.960860image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:20.151704image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:24.671951image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:28.640183image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:32.621629image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:36.598901image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:41.108150image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:45.239799image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:49.463892image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2023-04-16T22:54:58.321348image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2023-04-16T22:55:07.055065image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2023-04-16T22:54:24.801426image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2023-04-16T22:54:24.921794image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:28.891278image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:32.869576image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:36.850844image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2023-04-16T22:54:15.050438image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:19.218590image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:23.727442image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:27.774236image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:31.740175image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:35.707170image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2023-04-16T22:54:44.305764image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2023-04-16T22:54:52.777201image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:57.376354image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:01.523586image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:05.765244image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:10.769867image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:15.477978image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:19.499212image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:24.157552image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:28.385408image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:32.442592image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:36.480153image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:40.907796image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:32.597220image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:36.889414image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:40.941360image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:45.061657image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:49.204449image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:53.554611image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:57.614714image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:02.122825image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:06.505049image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:11.054653image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:15.165431image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:19.374697image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:23.843126image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:27.879988image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:31.851591image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:35.814876image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:40.269091image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:44.418487image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:48.659049image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:52.893916image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:57.493074image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:01.639277image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:05.920178image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:10.926364image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:15.604641image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:19.634852image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:24.266238image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:28.502064image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:32.555319image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:36.597843image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:41.033453image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:32.841603image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:37.027045image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:41.063033image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:45.196270image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:49.325125image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:53.677883image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:57.746180image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:02.250087image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:06.634709image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:11.218248image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:15.290342image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:19.504314image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:23.964773image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:27.998950image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:31.976285image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:35.942482image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:40.395753image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:44.575079image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:48.797434image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:53.030937image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:57.618745image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:01.760983image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:06.074764image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:11.100898image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:15.741276image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:19.754992image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:24.385566image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:28.630634image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:32.679991image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:36.743457image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:41.177044image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:32.989541image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:37.168243image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:41.195645image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:45.322554image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:49.461363image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:53.816512image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:57.885806image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:02.397694image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:06.772308image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:11.358943image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:15.429576image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:19.637957image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:24.108307image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:28.130201image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:32.113508image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:36.074124image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:40.528399image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:44.705044image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:48.939056image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:53.162466image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:57.754350image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:01.896069image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:06.271831image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:11.292209image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:15.880939image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:19.883613image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:24.514216image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:28.770532image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:32.809794image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:36.883007image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:41.313511image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:33.125205image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:37.422596image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:41.335429image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:45.439267image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:49.777887image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:53.943210image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:58.317961image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:02.540366image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:06.902198image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:11.486637image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:15.555242image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:19.759430image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:24.261117image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:28.262845image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:32.240170image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:36.199727image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:40.654674image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:44.845662image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:49.068299image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:53.286142image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:57.924118image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:02.047664image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:06.470299image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:11.488687image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:16.006150image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:20.001299image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:24.636861image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:28.908682image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:32.933828image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:37.013658image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:41.458123image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:33.262810image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:37.561193image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:41.465082image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:45.569918image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:49.912525image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:54.083775image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:53:58.449301image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:02.681947image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:07.035874image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:11.624943image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:15.703931image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:19.891697image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:24.398942image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:28.390503image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:32.371818image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:36.346334image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:40.831203image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:44.979894image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:49.208923image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:53.418403image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:54:58.057389image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:02.183022image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:06.697433image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:11.685821image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:16.139793image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:20.130538image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:24.765173image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:29.047314image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:33.094288image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-04-16T22:55:37.163911image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Correlations

2023-04-16T22:56:01.017334image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Avg_PLT_CO2VentRate_TPHAvg_CCS1_WHCO2InjPs_psiAvg_CCS1_WHCO2InjTp_FAvg_CCS1_ANPs_psiAvg_CCS1_DH6325Ps_psiAvg_CCS1_DH6325Tp_FAvg_VW1_WBTbgPs_psiAvg_VW1_WBTbgTp_FAvg_VW1_ANPs_psiAvg_VW1_Z11D4917Ps_psiAvg_VW1_Z11D4917Tp_FAvg_VW1_Z10D5001Ps_psiAvg_VW1_Z10D5001Tp_FAvg_VW1_Z09D5653Ps_psiAvg_VW1_Z09D5653Tp_FAvg_VW1_Z08D5840Ps_psiAvg_VW1_Z08D5840Tp_FAvg_VW1_Z07D6416Ps_psiAvg_VW1_Z07D6416Tp_FAvg_VW1_Z06D6632Ps_psiAvg_VW1_Z06D6632Tp_FAvg_VW1_Z05D6720Ps_psiAvg_VW1_Z05D6720Tp_FAvg_VW1_Z04D6837Ps_psiAvg_VW1_Z04D6837Tp_FAvg_VW1_Z02D6982Ps_psiAvg_VW1_Z02D6982Tp_FAvg_VW1_Z01D7061Ps_psiAvg_VW1_Z01D7061Tp_FAvg_VW1_Z0910D5482Ps_psiAvg_VW1_Z0910D5482Tp_F
Avg_PLT_CO2VentRate_TPH1.0000.5880.3070.0120.501-0.0190.2090.0270.343-0.4220.244-0.2570.3900.4840.4860.2490.1130.0040.4800.2100.4650.4910.5360.5420.431-0.4910.2570.4870.5180.205-0.135
Avg_CCS1_WHCO2InjPs_psi0.5881.0000.4180.0880.8720.2430.457-0.2270.193-0.5080.353-0.2500.5120.4790.5850.039-0.117-0.0350.5370.4640.4910.4040.4400.4020.277-0.3000.1130.5690.3810.445-0.283
Avg_CCS1_WHCO2InjTp_F0.3070.4181.0000.1520.2070.366-0.050-0.0810.468-0.050-0.095-0.061-0.0260.2090.0640.0720.0940.1260.171-0.0500.1030.1690.2280.2110.212-0.1700.1700.0560.187-0.0580.096
Avg_CCS1_ANPs_psi0.0120.0880.1521.0000.0400.1210.0000.047-0.1210.033-0.0370.062-0.082-0.067-0.0600.009-0.093-0.070-0.045-0.000-0.039-0.142-0.131-0.103-0.0660.057-0.089-0.062-0.0970.004-0.016
Avg_CCS1_DH6325Ps_psi0.5010.8720.2070.0401.0000.2130.589-0.264-0.032-0.5190.465-0.2210.5530.3850.612-0.075-0.154-0.0780.4250.5950.3870.3230.3260.2740.115-0.1370.0470.6020.2670.573-0.347
Avg_CCS1_DH6325Tp_F-0.0190.2430.3660.1210.2131.0000.258-0.2180.118-0.0770.2390.0350.077-0.2160.003-0.403-0.155-0.266-0.1670.258-0.175-0.280-0.277-0.383-0.2990.276-0.402-0.062-0.3750.239-0.251
Avg_VW1_WBTbgPs_psi0.2090.457-0.0500.0000.5890.2581.000-0.669-0.136-0.7800.866-0.2870.8380.2940.790-0.447-0.305-0.5280.3710.9980.4000.2010.1460.0390.026-0.043-0.5610.7730.0650.990-0.769
Avg_VW1_WBTbgTp_F0.027-0.227-0.0810.047-0.264-0.218-0.6691.0000.0600.385-0.4620.031-0.507-0.138-0.4380.4140.2980.182-0.200-0.665-0.341-0.078-0.0290.037-0.005-0.0520.507-0.4200.034-0.6650.436
Avg_VW1_ANPs_psi0.3430.1930.468-0.121-0.0320.118-0.1360.0601.000-0.2740.018-0.3400.1170.4570.2370.3530.259-0.0280.428-0.1400.4460.5170.5560.6110.697-0.6830.2160.2330.602-0.128-0.020
Avg_VW1_Z11D4917Ps_psi-0.422-0.508-0.0500.033-0.519-0.077-0.7800.385-0.2741.000-0.8580.577-0.858-0.658-0.9300.1520.0720.559-0.715-0.781-0.669-0.620-0.601-0.519-0.5540.5750.298-0.900-0.543-0.7720.694
Avg_VW1_Z11D4917Tp_F0.2440.353-0.095-0.0370.4650.2390.866-0.4620.018-0.8581.000-0.4200.8310.3730.805-0.339-0.160-0.6330.4240.8620.4240.3270.2760.1620.200-0.232-0.5190.7530.1880.855-0.751
Avg_VW1_Z10D5001Ps_psi-0.257-0.250-0.0610.062-0.2210.035-0.2870.031-0.3400.577-0.4201.000-0.299-0.345-0.4540.023-0.2300.467-0.481-0.287-0.388-0.391-0.401-0.430-0.5020.514-0.023-0.472-0.452-0.2930.334
Avg_VW1_Z10D5001Tp_F0.3900.512-0.026-0.0820.5530.0770.838-0.5070.117-0.8580.831-0.2991.0000.6190.914-0.151-0.195-0.3700.6260.8380.6300.5340.4960.3950.358-0.385-0.3620.8770.4140.835-0.724
Avg_VW1_Z09D5653Ps_psi0.4840.4790.209-0.0670.385-0.2160.294-0.1380.457-0.6580.373-0.3450.6191.0000.7550.333-0.0130.0240.8360.2960.6610.8930.8600.8480.800-0.7400.2380.7450.8480.303-0.275
Avg_VW1_Z09D5653Tp_F0.4860.5850.064-0.0600.6120.0030.790-0.4380.237-0.9300.805-0.4540.9140.7551.000-0.012-0.077-0.3390.7650.7890.7080.7000.6840.5990.559-0.561-0.1980.9540.5990.782-0.639
Avg_VW1_Z08D5840Ps_psi0.2490.0390.0720.009-0.075-0.403-0.4470.4140.3530.152-0.3390.023-0.1510.333-0.0121.0000.3320.3680.214-0.4570.2380.4070.4370.5400.459-0.4460.5580.0100.509-0.4420.373
Avg_VW1_Z08D5840Tp_F0.113-0.1170.094-0.093-0.154-0.155-0.3050.2980.2590.072-0.160-0.230-0.195-0.013-0.0770.3321.0000.110-0.023-0.3070.1010.1480.2590.2710.265-0.2730.268-0.0930.251-0.3050.211
Avg_VW1_Z07D6416Ps_psi0.004-0.0350.126-0.070-0.078-0.266-0.5280.182-0.0280.559-0.6330.467-0.3700.024-0.3390.3680.1101.000-0.063-0.520-0.1430.0350.0930.146-0.0170.1010.609-0.3430.080-0.5360.597
Avg_VW1_Z07D6416Tp_F0.4800.5370.171-0.0450.425-0.1670.371-0.2000.428-0.7150.424-0.4810.6260.8360.7650.214-0.023-0.0631.0000.3750.7890.7630.8110.7870.768-0.7500.1580.7450.7710.372-0.368
Avg_VW1_Z06D6632Ps_psi0.2100.464-0.050-0.0000.5950.2580.998-0.665-0.140-0.7810.862-0.2870.8380.2960.789-0.457-0.307-0.5200.3751.0000.3950.1980.1460.0360.020-0.037-0.5560.7700.0620.990-0.769
Avg_VW1_Z06D6632Tp_F0.4650.4910.103-0.0390.387-0.1750.400-0.3410.446-0.6690.424-0.3880.6300.6610.7080.2380.101-0.1430.7890.3951.0000.6460.7070.6890.666-0.6800.0390.6950.6860.394-0.374
Avg_VW1_Z05D6720Ps_psi0.4910.4040.169-0.1420.323-0.2800.201-0.0780.517-0.6200.327-0.3910.5340.8930.7000.4070.1480.0350.7630.1980.6461.0000.9090.9130.861-0.7890.3000.7110.9180.210-0.157
Avg_VW1_Z05D6720Tp_F0.5360.4400.228-0.1310.326-0.2770.146-0.0290.556-0.6010.276-0.4010.4960.8600.6840.4370.2590.0930.8110.1460.7070.9091.0000.9340.881-0.8490.3380.6530.9090.137-0.138
Avg_VW1_Z04D6837Ps_psi0.5420.4020.211-0.1030.274-0.3830.0390.0370.611-0.5190.162-0.4300.3950.8480.5990.5400.2710.1460.7870.0360.6890.9130.9341.0000.946-0.8830.4580.6290.9780.046-0.016
Avg_VW1_Z04D6837Tp_F0.4310.2770.212-0.0660.115-0.2990.026-0.0050.697-0.5540.200-0.5020.3580.8000.5590.4590.265-0.0170.7680.0200.6660.8610.8810.9461.000-0.9350.3220.5760.9330.032-0.093
Avg_VW1_Z02D6982Ps_psi-0.491-0.300-0.1700.057-0.1370.276-0.043-0.052-0.6830.575-0.2320.514-0.385-0.740-0.561-0.446-0.2730.101-0.750-0.037-0.680-0.789-0.849-0.883-0.9351.000-0.290-0.554-0.874-0.0350.185
Avg_VW1_Z02D6982Tp_F0.2570.1130.170-0.0890.047-0.402-0.5610.5070.2160.298-0.519-0.023-0.3620.238-0.1980.5580.2680.6090.158-0.5560.0390.3000.3380.4580.322-0.2901.000-0.1320.422-0.5610.565
Avg_VW1_Z01D7061Ps_psi0.4870.5690.056-0.0620.602-0.0620.773-0.4200.233-0.9000.753-0.4720.8770.7450.9540.010-0.093-0.3430.7450.7700.6950.7110.6530.6290.576-0.554-0.1321.0000.6450.781-0.594
Avg_VW1_Z01D7061Tp_F0.5180.3810.187-0.0970.267-0.3750.0650.0340.602-0.5430.188-0.4520.4140.8480.5990.5090.2510.0800.7710.0620.6860.9180.9090.9780.933-0.8740.4220.6451.0000.074-0.045
Avg_VW1_Z0910D5482Ps_psi0.2050.445-0.0580.0040.5730.2390.990-0.665-0.128-0.7720.855-0.2930.8350.3030.782-0.442-0.305-0.5360.3720.9900.3940.2100.1370.0460.032-0.035-0.5610.7810.0741.000-0.769
Avg_VW1_Z0910D5482Tp_F-0.135-0.2830.096-0.016-0.347-0.251-0.7690.436-0.0200.694-0.7510.334-0.724-0.275-0.6390.3730.2110.597-0.368-0.769-0.374-0.157-0.138-0.016-0.0930.1850.565-0.594-0.045-0.7691.000

Missing values

2023-04-16T22:55:41.783874image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
A simple visualization of nullity by column.
2023-04-16T22:55:42.778250image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-04-16T22:55:43.100890image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

SampleTimeUTCAvg_PLT_CO2VentRate_TPHAvg_CCS1_WHCO2InjPs_psiAvg_CCS1_WHCO2InjTp_FAvg_CCS1_ANPs_psiAvg_CCS1_DH6325Ps_psiAvg_CCS1_DH6325Tp_FAvg_VW1_WBTbgPs_psiAvg_VW1_WBTbgTp_FAvg_VW1_ANPs_psiAvg_VW1_Z11D4917Ps_psiAvg_VW1_Z11D4917Tp_FAvg_VW1_Z10D5001Ps_psiAvg_VW1_Z10D5001Tp_FAvg_VW1_Z09D5653Ps_psiAvg_VW1_Z09D5653Tp_FAvg_VW1_Z08D5840Ps_psiAvg_VW1_Z08D5840Tp_FAvg_VW1_Z07D6416Ps_psiAvg_VW1_Z07D6416Tp_FAvg_VW1_Z06D6632Ps_psiAvg_VW1_Z06D6632Tp_FAvg_VW1_Z05D6720Ps_psiAvg_VW1_Z05D6720Tp_FAvg_VW1_Z04D6837Ps_psiAvg_VW1_Z04D6837Tp_FAvg_VW1_Z03D6945Ps_psiAvg_VW1_Z03D6945Tp_FAvg_VW1_Z02D6982Ps_psiAvg_VW1_Z02D6982Tp_FAvg_VW1_Z01D7061Ps_psiAvg_VW1_Z01D7061Tp_FAvg_VW1_Z0910D5482Ps_psiAvg_VW1_Z0910D5482Tp_F
011/18/2012 10:000.6333331406.58871095.546059510.8994323383.531185129.4665552329.055794104.911063NaN2069.882166103.5806492111.650826104.7129862557.243815114.8244402644.215365114.9916672926.223995117.2327323207.494576116.5921303071.393272117.1947983164.437571123.950020NaNNaN3323.566427123.4450623320.298985122.4535742641.633761110.543437
111/18/2012 11:000.6333331407.00080695.382363511.8964383384.563845129.4817272329.133431104.911993NaN2069.932163103.5822992111.604574104.7066562557.296545114.8244402644.184383115.0000002926.244843117.2271673207.467684116.5928203071.404053117.1992983164.449400123.955959NaNNaN3323.579193123.4424973320.306563122.4589732641.664410110.546602
211/18/2012 12:000.4583331406.68294595.643837510.9822773385.062998129.4592612329.147909104.890602NaN2069.892961103.5806492111.651949104.7129562557.289598114.8270502644.204405115.0000002926.264433117.2287573207.547530116.5960003071.369057117.1985483164.454742123.952660NaNNaN3323.572024123.4484673320.344305122.4636832641.688436110.541832
311/18/2012 13:000.3666671406.53422095.354166514.0805633386.434011129.5101612329.112113104.913853NaN2069.850964103.5806492111.631376104.7105712557.298720114.8253112644.205847115.0000002926.215198117.2343223207.584790116.5999303071.351440117.1887993164.476202123.955959NaNNaN3323.589970123.4519023320.326760122.4670582641.713418110.550562
411/18/2012 14:000.2333331406.15674995.328164507.0986633384.814122129.4920222329.133805104.9017620.1005852069.839197103.5847742111.620549104.7169762557.291081114.8261812644.206942115.0000002926.254921117.2390923207.591974116.5968253071.359377117.1932983164.446883123.961239NaNNaN3323.598450123.4450623320.339453122.4697722641.788692110.541607
511/18/2012 15:000.2416671406.43489395.408364507.5986763384.040808129.4684912329.128796104.8943220.1005852069.856958103.5806492111.628591104.7161212557.302804114.8279212644.223057115.0000002926.259542117.2462473207.600503116.5999453071.396043117.2097983164.435710123.961239NaNNaN3323.645540123.4433523320.345691122.4717822641.754956110.545672
611/18/2012 16:000.2500001406.22636995.644936506.4728563382.759320129.4453942329.106055104.9054830.1344602069.852399103.5847742111.644442104.7042412557.255373114.8305302644.239480115.0000002926.232235117.2430673207.582874116.5952503071.399707117.2105483164.404224123.970478NaNNaN3323.628247123.4433523320.356543122.4683932641.740084110.544127
711/18/2012 17:000.1916671407.79006395.462197506.8747093383.529555129.4604702329.072949104.8961820.2113652069.878361103.5765242111.608470104.7010612557.283307114.8235712644.240399115.0000002926.263086117.2462473207.587136116.5967953071.392399117.2157973164.372550123.980377NaNNaN3323.651038123.4467723320.352736122.4704472641.748617110.544892
811/18/2012 18:000.1500001408.63407395.982583511.0497573383.389195129.4727582329.048739104.9008320.3038332069.930933103.5723992111.666107104.7105712557.294137114.8244402644.163603114.5333332926.268455117.2478373207.576900116.5983703071.460229117.2112983164.375201123.983017NaNNaN3323.653973123.4364973320.408789122.4690532641.674925110.552182
911/18/2012 19:000.2833331410.01386195.643105514.9947233384.750602129.5349962329.025667104.9064130.3514402069.918758103.5781742111.725216104.7191052557.370685114.8270502644.138062114.4333332926.291066117.2406823207.507513116.5897153071.455998117.2075033164.358022123.980377NaNNaN3323.641732123.4365123320.360258122.4670432641.627620110.550592
SampleTimeUTCAvg_PLT_CO2VentRate_TPHAvg_CCS1_WHCO2InjPs_psiAvg_CCS1_WHCO2InjTp_FAvg_CCS1_ANPs_psiAvg_CCS1_DH6325Ps_psiAvg_CCS1_DH6325Tp_FAvg_VW1_WBTbgPs_psiAvg_VW1_WBTbgTp_FAvg_VW1_ANPs_psiAvg_VW1_Z11D4917Ps_psiAvg_VW1_Z11D4917Tp_FAvg_VW1_Z10D5001Ps_psiAvg_VW1_Z10D5001Tp_FAvg_VW1_Z09D5653Ps_psiAvg_VW1_Z09D5653Tp_FAvg_VW1_Z08D5840Ps_psiAvg_VW1_Z08D5840Tp_FAvg_VW1_Z07D6416Ps_psiAvg_VW1_Z07D6416Tp_FAvg_VW1_Z06D6632Ps_psiAvg_VW1_Z06D6632Tp_FAvg_VW1_Z05D6720Ps_psiAvg_VW1_Z05D6720Tp_FAvg_VW1_Z04D6837Ps_psiAvg_VW1_Z04D6837Tp_FAvg_VW1_Z03D6945Ps_psiAvg_VW1_Z03D6945Tp_FAvg_VW1_Z02D6982Ps_psiAvg_VW1_Z02D6982Tp_FAvg_VW1_Z01D7061Ps_psiAvg_VW1_Z01D7061Tp_FAvg_VW1_Z0910D5482Ps_psiAvg_VW1_Z0910D5482Tp_F
19111/26/2012 16:000.0250001143.61557689.688881561.4355333111.476807128.1160052327.892611104.9054832.6704712069.826986103.5756992111.700287104.7199152557.649941114.9244912644.415788115.02926.320394117.3337623206.449318116.6186803072.428990118.2288413180.016457124.2545200.00.03321.358042123.5125323321.724227122.5563982640.735295110.562517
19211/26/2012 1:001.9333331419.60473196.674724525.6271233401.743427129.3315372323.385040104.9063642.7455452069.822351103.5748742111.704643104.7278202557.699754114.9227512644.503516115.02926.355251117.3217763201.891882116.6243803072.357560118.1944903179.852144124.2215530.00.03321.029065123.5229723321.355961122.5408742636.131167110.574113
19311/26/2012 2:001.8416671420.00684096.445474508.6478023401.955001129.3281472323.873413104.9268432.7373052069.818195103.5773492111.686312104.7215202557.683868114.9149212644.488139115.02926.338273117.3162113202.346899116.6111203072.341939118.1992903179.829456124.2228880.00.03321.047567123.5229723321.417544122.5442482636.588619110.565968
19411/26/2012 3:002.0250001419.78839896.413613488.3431753402.492588129.2820632324.298297104.9370432.6933592069.810765103.5732242111.654445104.7160762557.637882114.9236212644.532452115.02926.347780117.3297273202.816608116.5939163072.302846118.1942353179.867983124.2334020.00.03321.060050123.5221023321.422144122.5435732637.050604110.561947
19511/26/2012 4:001.9333331419.95219896.713541527.6210783401.338129129.2705642324.743290104.9035632.7199102069.800250103.5822992111.626141104.7169312557.684723114.9236212644.482605115.02926.308055117.3249573203.296547116.6236003072.283561118.1745543179.877376124.2274630.00.03321.056685123.5203623321.479012122.5469482637.542283110.572343
19611/26/2012 5:001.8500001419.84797296.561928536.1828263401.605514129.2812832325.227348104.9221632.7015992069.725203103.5905492111.615009104.7130012557.630145114.9210112644.433441115.02926.315324117.3313323203.817546116.6081803072.345801118.2440503179.910710124.2281530.00.03321.116520123.5177523321.508514122.5489732638.027081110.564302
19711/26/2012 6:001.7666671419.76363496.678385516.8751863401.642808129.2724102325.744975104.9268132.6869512069.803945103.5715742111.582210104.7066412557.545451114.9131812644.442792115.02926.225773117.3338223204.252132116.5923703072.289278118.1954203179.844151124.2221980.00.03321.111589123.5177523321.427020122.5456282638.471903110.562578
19811/26/2012 7:001.8333331419.71400296.484292502.8285143401.545304129.2649552326.147595104.9041782.7162482069.777610103.5765242111.579535104.7042712557.497902114.9123112644.389207115.02926.238892117.3265773204.677315116.6240653072.361387118.2021253179.796714124.2241780.00.03321.146391123.5238423321.519218122.5503232638.880892110.573813
19911/26/2012 8:001.7666671419.25730496.386879486.2633323400.436975129.2435432326.504885104.9105532.6613162069.744259103.5756992111.565682104.7018862557.496307114.9210112644.349913115.02926.271820117.3305673205.047064116.6192953072.347485118.2074653179.858105124.2327420.00.03321.189632123.5160123321.561338122.5415492639.240194110.559892
20011/26/2012 9:001.8250001419.09848196.275185470.3362153400.280570129.2231872326.916408104.9284932.6832882069.735527103.5773492111.620984104.7153562557.530155114.9149212644.358228115.02926.293233117.3233673205.383757116.6088853072.360040118.2126713179.802541124.2274630.00.03321.231458123.5168823321.610999122.5516732639.605711110.549002